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Readings in Speech Recognition
 
 
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Readings in Speech Recognition [Paperback]

Alexander Waibel (Editor), Kai-Fu Lee (Editor)
4.0 out of 5 stars  See all reviews (1 customer review)

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Book Description

1558601244 978-1558601246 May 15, 1990 1

After more than two decades of research activity, speech recognition has begun to live up to its promise as a practical technology and interest in the field is growing dramatically. Readings in Speech Recognition provides a collection of seminal papers that have influenced or redirected the field and that illustrate the central insights that have emerged over the years.


The editors provide an introduction to the field, its concerns and research problems. Subsequent chapters are devoted to the main schools of thought and design philosophies that have motivated different approaches to speech recognition system design. Each chapter includes an introduction to the papers that highlights the major insights or needs that have motivated an approach to a problem and describes the commonalities and differences of that approach to others in the book.


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From the Back Cover

After more than two decades of research activity, speech recognition has begun to live up to its promise as a practical technology and interest in the field is growing dramatically. Readings in Speech Recognition provides a collection of seminal papers that have influenced or redirected the field and that illustrate the central insights that have emerged over the years.


The editors provide an introduction to the field, its concerns and research problems. Subsequent chapters are devoted to the main schools of thought and design philosophies that have motivated different approaches to speech recognition system design. Each chapter includes an introduction to the papers that highlights the major insights or needs that have motivated an approach to a problem and describes the commonalities and differences of that approach to others in the book.

About the Author

Edited by Alexander Waibel and Kai-Fu Lee

Product Details

  • Paperback: 680 pages
  • Publisher: Morgan Kaufmann; 1 edition (May 15, 1990)
  • Language: English
  • ISBN-10: 1558601244
  • ISBN-13: 978-1558601246
  • Product Dimensions: 10.9 x 8.5 x 1.3 inches
  • Shipping Weight: 3.3 pounds (View shipping rates and policies)
  • Average Customer Review: 4.0 out of 5 stars  See all reviews (1 customer review)
  • Amazon Best Sellers Rank: #2,862,338 in Books (See Top 100 in Books)

 

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7 of 7 people found the following review helpful:
4.0 out of 5 stars How Far Speech Recognition Has Come, February 23, 2004
This review is from: Readings in Speech Recognition (Paperback)
Written in 1990, the book shows the vast constrast between what was practical in the field of speech recognition then, and what is achievable now.

In 1990, most speech recognition was of single words, not continuous speech, and it was of a given speaker. That is, it was not speaker independent. Plus, due to the limited memory and slow cpus, often the analysis was not in anything approaching realtime. Typically, the speaker would say something, word by word, and this would be recorded in digital form, which would then be analysed.

Even with these hardware limitations, the papers describe promising approaches and indeed of good progress in the subject. Which is actually what did happen subsequently.

As an aside, Kai-Fu Lee came to prominence at Carnegie Mellon in the late 80s, writing key parts of the Sphinx speech recognition system, which was highly regarded as the benchmark of its time.

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Inside This Book (learn more)
First Sentence:
Like many frontiers of artificial intelligence, speech recognition is also still in its infancy. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
string error rates, phonetic lattice, word hypothesizer, slope constraint condition, generalized triphone models, word hypothesization, stochastic segment model, codebook nodes, time warping path, multispeaker mode, phoneme recognition accuracy, resampled segment, synchrony spectrogram, connected digit recognizer, unknown length strings, connected speech recognition systems, triphone modeling, level building algorithm, substitutions with applications, fine phonetic distinctions, high discriminant power, differenced power, backup frame, generalized triphones, phoneme recognition system
Key Phrases - Capitalized Phrases (CAPs): (learn more)
International Conference, New York, Carnegie-Mellon University, Stochastic Approaches, Bell Syst, Englewood Cliffs, Acoustical Society of America, Audio Electroacoust, Computer Science Department, Murray Hill, Carnegie Mellon University, Department of Computer Science, Watson Research Center, Interpreting Telephony Research Laboratories, Gauss Markov, Parallel Distributed Processing, Speech Signal Process, San Diego, Santa Barbara, Speaker-Independent Word Recognition Using, Stanford Research Institute, Yorktown Heights, Conf Acoust, Defense Advanced Research Projects Agency, Massachusetts Institute of Technology
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